Merlin Stampa
Papers
3
Total Citations
37
H-Index
3
About
Merlin Stampa is a robotics researcher whose work centers on the practical challenges of mobile robot autonomy, with a particular focus on energy efficiency, localization, and system classification. His most impactful contribution, "A Taxonomy for Mobile Robots" (2020, 27 citations), provides a critical framework for distinguishing mobile robots from general robotics by emphasizing unique requirements like navigation and energy constraints—a foundational reference for researchers designing autonomous systems. Stampa also advanced energy-aware robotics through his 2015 work on estimating energy consumption for omnidirectional Automated Guided Vehicles (AGVs) with Mecanum wheels, enabling trajectory optimization that directly improves operational efficiency in industrial settings. His 2018 paper on semi-automatic calibration of Ultra-Wideband (UWB) range measurements addresses a key bottleneck in commercial applications: achieving precise localization for coverage path planning, where accurate positioning reduces lane overlap and boosts productivity. Together, Stampa’s research bridges theoretical classification with practical, implementable solutions for energy management and localization, making his work valuable for engineers and researchers developing robust, efficient mobile robots for real-world deployment.
Research Focus
Key Achievements
Top Papers
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